Papers - KAMADA Tomio
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Data Mapping Tool for Efficient Processing of XML Streaming Data Reviewed
NIIMURA Kenji, KAMADA Tomio, TAMURA Naoyuki
Conference Proceedings of Japan Society for Software Science and Technology 19 ( 0 ) 6E2 - 6E2 2002
Publisher：Japan Society for Software Science and Technology
In order to efficiently process large XML data from networks andoutput the result to other sites, streaming processing is important toreduce memory usage and to get quick response. This paper proposes adata mapping tool for processing XML streaming data. Our tool showsXML stream as a typed tree structure, where the system lazily parsesthe data stream to construct each element of the tree receiving thefield access request from the user program. This tool also has afeature to customize the mapping functions from XML document to typedtree structure, and improves the reusability of the data processingprogram written by the users.